摘要
针对西安市201 7年采暖季雾霾污染天气过程中首要污染物及其与空气质量指数(AQI)关系曲线及函数关系分析,通过对函数关系式验证。发现采暖季前PM10作为首要污染物的概率低于采暖后但采暖季前后均是以PM2.5作为主要首要污染物;首要污染物PM2.5与AQI有良好的线性关系,通过MATLAB软件处理获得两者的函数关系;应用得到的函数关系式对其它月份雾霾污染天气空气质量指数及首要污染物数值进行推演发现本函数关系式与实际空气质量指数与首要污染物之前的关系高度吻合。
The relationship between the primary pollutants and the air mass index（ AQI） in the heating season of Xi ＇ an in 2017 and its relation to the air mass index（ air mass index） curve and function relation are analyzed. It is found that the probability of PM10 as the primary pollutant in heating season is lower than that after heating, but PM2.5 is the main pollutant before and after heating season. There is a good linear relationship between the primary pollutant PM2.5 and AQI, and the functional relationship between them is obtained by MATLAB software. The function relation is applied to deduce the air quality index of the fog and haze pollution in other months and the number of primary pollutants. It is found that the relationship between this function and the actual air quality index is in good agreement with the relationship before the primary pollutant.
作者
吴涛
张康平
徐永刚
郑倩瑛
WU Tao1, ZHANG Kang-ping2 ,XU Yong-gang3, ZHENG Qian-ying1(1.Xi＇an Technological University,Xi＇an,Shaanxi 710021,China;2.Shaanxi radio and TV broadcast Culture Communication Co., Shaanxi, Xi＇an 710032, China ; 3. Xi＇an University of post and telecommunications, Shaanxi, Xi＇an 710121, Chin)
出处
《科技视界》
2018年第19期210-212,共3页
Science & Technology Vision
关键词
雾霾污染
首要污染物
预测模型
空气质量指数
Haze pollution
Primary pollutants
Prediction models
Air quality index
